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Process-based models for simulation of agroecosystems have been developed during the last decades with the aim of providing tools for analyzing, understanding and manipulating the main processes characterizing those systems. Models for rice growth simulation are available: Oryza1, CERES-Rice, maNage Rice. However, some of them are very demanding in terms of input required and none takes into account processes with high impact on crop yield such as floodwater effect on vertical thermal profile and crop-disease interactions. Moreover, the models currently available are not supplied with utility tools to assist both users and developers in the calibration and testing activities. To overcome such limitations, an open research group is developing WARM. Relevant model features and sample applications are illustrated in this paper.
2010-09-17
European Society for Agronomy (ESA)
JRC33939
http://www.esa.org.pl,    https://publications.jrc.ec.europa.eu/repository/handle/JRC33939,   
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